SIPLAB: Sensing, Interaction & Perception Lab
In the SIPLAB at ETH Zürich, we're a cross-disciplinary research group in embodied perception, computational interaction, and mobile health. Our research spans mixed reality, robotics, human-computer interaction, and machine learning. We are part of the Department of Computer Science and the ETH AI Center, affiliated with the Department of Information Technology & Electrical Engineering, and HCI@ETH.
egocentric perception
scalable methods for action & motion tracking
computational interaction
decoding input intention in adaptive systems
predictive mobile health
signal processing for physiological modeling in the wild
Projects to appear and recent research
Beyond Subjectivity
Continuous Cybersickness Detection Using EEG-based Multitaper Spectrum EstimationContinual Human-in-the-Loop Optimization
Shifting the Paradigm
Achieving Shift-Invariancy for Deep Learning on Time SeriesRedefining Affordance
via Computational RationalityNightbeat
Heart Rate Estimation From a Wrist-Worn Accelerometer During SleepAffiliations and collaborations
We are part of the ELLIS Unit Zürich, the Max Planck ETH Center for Learning Systems (CLS), and ETH's Competence Centre for Rehabilitation Engineering and Science (ETH RESC). We are also affiliated with the Zurich Information Security & Privacy Center (ZISC).